Software Engineering Intern (Summer 2027)

Role Overview

As a Software Engineer, Intern (Summer 2027) on the Engineering team at Harvey, you’ll work alongside experienced engineers on projects that power our AI products. You’ll collaborate with Product, AI, Legal, and GTM teams to help build secure, intuitive systems that deliver real value to our customers. This 12 or 16 week internship is ideal for students who are curious, motivated, and excited to learn how modern application-layer and GenAI products are built. You’ll gain hands-on experience across the stack, contribute to real features, and see how your work impacts users in production.

What You'll Do

• Own a project end-to-end from coding and testing to deploying it to production, and presenting your work to peers and leaders across the company.
• Write clean, maintainable code that meets our team's standards. You'll use AI-assisted development tools daily, and you’ll own the quality of everything you ship—AI-generated or not.
• Build real knowledge of the systems you support and the users they serve, bringing that perspective into product discussions.
• Debug problems in your area, follow escalation procedures, and treat quality as urgent.
• Collaborate with your team through code review, pair programming, design reviews and technical documentation.
• Depending on your team, you could work on retrieval over large document collections, interfaces for collaborating with AI systems, multi-region compute infrastructure, enterprise agents, or secure systems for sensitive client data. You'll also evaluate frontier models alongside senior engineers.

Requirements & Tech Stack

• Currently enrolled in a Bachelor's or Master's program in computer science, engineering, or a related field with a graduation date of December 2027 or later.
• Able to work from our New York or San Francisco offices during our summer cohort. Relocation support is available.
• Previous internship experience is required.
• Technical foundation. Strong proficiency in one or more languages (Python, TypeScript/JavaScript, Java, Go, or similar) and solid general computer science knowledge.
• Decisiveness: You have a bias toward action. You've built something start to finish in coursework, a personal project, or in a past internship.
• Simplicity: You can explain a complex technical idea in plain language. You look for the simplest solution that works.
• Job's Not Finished: You aren't satisfied when something merely works. You proactively seek out feedback, act on it, and keep pushing after the assignment is technically complete.
• AI Forward: Comfortable using AI-assisted development tools (e.g., Claude Code, Codex, Cursor) and curious about building LLMs into your own coding workflow. Our interview process includes AI-assisted coding sessions.

Qualifications

• Internship experience specifically at an early-stage startup is a plus.